Purpose: We present image classifiers based on Dense Convolutional Networks and transfer learning to classify chest X-ray images according to three labels: COVID-19, pneumonia, and normal. Methods: We fine-tuned neura...
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To deal with different data magnitudes or measurement units of different system nodes, a novel relative-error-dependent try-once-discard (RED-TOD) communication protocol with event-triggered detectors is proposed to i...
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Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical *** study prop...
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Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical *** study proposes a novel end-to-end disparity estimation model to address these *** approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting *** study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and *** model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video *** results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing ***,the model exhibited faster convergence during training,contributing to overall performance *** study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments.
Hyperspectralchannel reconstruction transforms a subsampled multispectral image into hyperspectral imaging, providing higher spectral resolution without a dedicated acquisition hardware and camera. Multi-stage Spectra...
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This paper considers a modification of the Prony parametric approximation method for modeling impulse signals. It is assumed that the experimentally measured signal is represented as a time series. The method is based...
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Medium voltage distribution equipment plays a key role in ensuring reliable operation of electrical systems. Given the rapid development of the electric power industry, new ways to increase the stability and efficienc...
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The article describes the main parameters by which modern audiometers make a diagnosis. The role of audiometry in preventing of hearing pathology development in patients is shown. The principle of pure-tone audiometry...
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This paper presents the results of developing a prototype software system for detecting fine defects in industrial products. The core of the computing unit contains a previously developed computational-heuristic algor...
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This article describes the basic signs of correct posture used in clinical practice. The data on the relevance of the development of new methods and means for posture correction are given. The existing methods of post...
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The article considers possible approaches to designing program modules in web application clients. A design approach is proposed, the use of which provides an increase in the ease of debugging programs in the developm...
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